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MLPerf
Benchmark
Hardware
The industry's referee for AI hardware — training and inference rounds.
You're looking at a benchmark record: a test the industry uses to measure chips or models — and what it actually tells you.
MLCommons' MLPerf benchmarks run standardized workloads (LLM pre-training, fine-tuning, inference serving) on submitted systems, producing the only audited apples-to-apples numbers across NVIDIA, AMD, Intel, Google and others. Vendors' marketing decks cite peak FLOPS; buyers read MLPerf. Absences speak too — chips that never submit usually have reasons.
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Record reviewed as of 2026-01-15 — see Methodology.